Quantum Computing Research Scientist - Senior Associate

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Quantum Computing Research Scientist to advance algorithms, error correction, and simulations, influencing both theory and practical financial applications.

You will collaborate across hardware partners and business lines to tackle high-value computational problems, develop software for quantum and classical methods, and publish impactful results in top venues.

Qualifications

• PhD in CS, physics, mathematics, or related field with a research focus in quantum computing.
• Strong publication record in quantum algorithms, quantum error correction, quantum complexity theory, quantum simulation, or computational finance.
• Proficiency in Python, C++, or Julia.
• Clear written and verbal communication skills with ability to convey technical concepts to both specialist and non-technical audiences.

Responsibilities

• Lead original research in quantum computing spanning algorithms, error correction, compilation, simulation, or financial applications, and publish results in top-tier academic venues.
• Collaborate with quantum hardware partners to design and execute experiments on partially and fully fault-tolerant quantum devices.
• Partner with lines of business to identify, formalize, and solve high-value computational problems using quantum and advanced classical methods.
• Develop and maintain scientific software for algorithm development, circuit compilation, simulation, and benchmarking.

Skills

Python

C++

Julia

Communication

Education

PhD in CS/Physics/Math (quantum computing focus)

Job description

Join a world-class team at the frontier of quantum computing, where your research directly shapes the future of financial technology. At JPMorganChase, you will have the resources, partnerships, and scale to turn theoretical breakthroughs into real-world impact. This is a rare opportunity to grow your career at the intersection of cutting-edge science and one of the world's most influential financial institutions.

As a Quantum Computing Research Scientist in the Global Technology Applied Research team, you will work across the full spectrum of quantum computing — from foundational theory and numerical simulation to hardware experimentation and financial applications. You will collaborate with leading hardware partners and internal stakeholders to tackle some of the most complex computational challenges in finance. We value intellectual curiosity, rigorous thinking, and the ability to bridge deep technical expertise with meaningful, real-world impact.

Job responsibilities

• Lead original research in quantum computing spanning algorithms, error correction, compilation, simulation, or financial applications, and publish results in top-tier academic venues
• Collaborate with quantum hardware partners to design and execute experiments on partially and fully fault-tolerant quantum devices
• Partner with lines of business to identify, formalize, and solve high-value computational problems using quantum and advanced classical methods
• Develop and maintain scientific software for algorithm development, circuit compilation, simulation, and benchmarking

Required qualifications, capabilities, and skills

• Ph.D. in computer science, physics, mathematics, or a related field with a research focus in quantum computing
• Strong publication record in at least one of the following: quantum algorithms, quantum error correction, quantum complexity theory, quantum simulation, or computational finance
• Proficiency in Python, C++, or Julia
• Clear written and verbal communication skills with the ability to convey technical concepts to both specialist and non-technical audiences

Preferred qualifications, capabilities, and skills

• Experience with scientific computing and numerical methods
• Familiarity with quantum error‑correcting codes — including surface, color, or other topological codes — and fault-tolerant circuit design
• Knowledge of quantum algorithms applied to financial problems such as optimization or risk analysis